At AstraZeneca, we're not afraid to do things differently. We're resetting expectations of what a bio-pharmaceutical company can be. This means we're opening new ways to work, groundbreaking and ground-breaking methods, and bringing unexpected teams together.
The Oncology therapy area at AstraZeneca is unparalleled. We have built and strategically acquired one of the most promising Oncology pipelines in the industry. You will be among inspiring oncology industry leaders who will keep you engaged and empower you to be the best. We seek out opportunities to do multifaceted and significant work which means we won't just follow the same course of action time and again if we can see potential in a different way of building life-changing medicines. The Director, Commercial Data Sciences & AI is a key member of the OBU Data Sciences team supporting the delivery of data science capability and solutions across the OBU commercial business. This responsibility includes working closely with cross-functional business leaders to help match the potential of effective data science applications to the most urgent business questions and needs.
This role will build delivery of the data science expertise to deliver business solutions that offer innovative and effective approaches based on rich data science experience to enhance commercial execution globally. The role will sit in the Commercial Operations Team and is expected to make a strong contribution to the commercial business at Global and Priority market levels. Typical Accountabilities Delivery of novel modeling solutions designed to drive the interrogation of datasets for insights in scientific and business application areas. These solutions include the application of niche approaches in classification, regression, clustering, NLP, image analysis, graph theory, and/or other techniques. Using domain-specific understanding translates unstructured, sophisticated business problems into the appropriate data problem, model, and analytical solutions across multiple projects Oversee the research and development of predictive models and computational methods to guide and influence decision-making outcomes Develop effective relationships with commercial and medical leaders to ensure the utilization and value of information resources and services in multiple projects. Responsible for advanced data science expertise to multiple cross-functional projects and drive delivery of complex data science solutions that drive value to AstraZeneca Lead and apply ongoing knowledge and awareness of trends, standard methodology, and new developments in analytics and data science to influence functional practices. Collaborates across the AstraZeneca Data and AI community to develop best practices and cross-functional opportunities that drive value Oversight of partnerships with multiple third parties, academic or outsourced partners to shape and drive project outcomes and knowledge-building Minimum Requirements Bachelor's Degree or 8 years of practical working experience in mathematics, computer science, engineering, physics, statistics, economics, computational sciences, or a related quantitative field can be considered instead of a degree. In-depth experience with modern data science approaches, including unsupervised and supervised classification and regression algorithms such as k-means clustering, support vector machines, random forests, neural networks, and deep learning. May also have expertise in advanced statistical modelling, or broader aspects of applied mathematics such as dynamical systems or optimization. Significant experience in the modeling of complex datasets in applied business and/or scientific application domains Advanced software development skills in at least two of the standard data science languages (such as R, Julia, or Python) and familiarity with database systems (e.g. SQL, NoSQL, graph) In-depth experience in manipulating and analyzing large dimensionality unstructured datasets, drawing conclusions, defining recommended actions, and reporting results across stakeholders Understanding of algorithm design, development, optimization, scaling, and applications Desirable Master's or PhD Comfortable working in high-performance computing or cloud environment Proven track record of publishing relevant predictive modeling results and tools in peer-reviewed journals, conferences, and other scientific proceedings. Experience in life sciences and healthcare Experience in novel methods development and application Experience in a complex global organization across varying time zones Experience in leading and managing junior colleagues Experience in influencing and controlling budgets Where can I find out more?
Our Social Media, Follow AstraZeneca on LinkedIn
Follow AstraZeneca on Facebook
Follow AstraZeneca on Instagram Date Posted
10-Apr-2024 Closing Date
Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.
AstraZeneca requires all US employees to be fully vaccinated for COVID-19 but will consider requests for reasonable accommodations as required by applicable law.
